Contentful to Mode Integration
AI-first ETL from Contentful into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Contentful into Mode
Datrise syncs Contentful's entries, content types, assets, spaces, locales, and publish events into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Contentful: Headless CMS for structured content delivery.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Contentful entities map to Mode
| Contentful entity | Mode object | Notes |
|---|---|---|
| entries | contentful_entries | id PK · custom fields → flattened columns for SQL and notebooks |
| content types | contentful_content_types | id PK · linked to contentful_entries |
| assets | contentful_assets | id PK · linked to contentful_entries |
| spaces | contentful_spaces | id PK · linked to contentful_entries |
FAQ
How does Datrise handle Contentful's custom fields in Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Contentful to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Contentful
Early access
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